Abstract
The understanding and modelling of consumer shopping behaviour can increasingly only be fully realised by reference to market segments. Disaggregate choice modelling methods are able to take account of such behavioural heterogeneity, but are hampered by the poor quality of observed choice data on which they are calibrated. This paper shows how a segmented modelling strategy may be developed using stated preference data, and illustrates the methodology using the example of grocery shopping in Cardiff, South Glamorgan.
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References
Bates, J. J. 1988. Stated preference techniques and the analysis of consumer choice. InStore choice, store location and market analysis, ed. N. Wrigley, London. Routledge, pp. 187–202.
Beggs, S., Cardell, S., and Hausman, J. 1981. Assessing the potential demand for electric cars.Journal of Econometrics 16: 1–19.
Ben-Akiva, M. and Lerman, S. R. 1985.Discrete choice analysis: theory and application to predict travel demand. Cambridge, Mass: MIT Press.
Chapman, R. G. and Staelin, R. 1982. Exploiting rank ordered choice set data within the stochastic utility model.Journal of Marketing Research 19: 281–99.
Clark, D. 1975.Understanding canonical correlation analysis concepts and techniques in modern geography (CATMOG) 3. Norwich: Geo Abstracts.
Clark, W. A. V. and Hosking, P. L. 1986.Statistical methods for geographers. New York: John Wiley.
Davies, B. K., Gilligan, C. T. and Sutton, C. 1985. Structural change in grocery retailing: the implications for competition.Interantional Journal of Physical Distribution and Materials Management 15, 2: 3–48.
Guy, C. M. 1984. The urban pattern of retailing within the U.K. In:Store location and store assessment research ed. R. L. Davies and D. S. Rogers. Chichester: John Wiley, pp. 73–80.
Hensher, D. A. 1984. Achieving representativeness of the observable component of the indirect utility function in logit choice models: an empirical revelation.Journal of Business 57, 2: 265–80.
Hensher, D. A. and Beesley, M. 1987. Identification of segmentation criteria for the improvement of population forecasts.Environment and Planning A 19: 807–18.
Hensher, D. A. and Louviere, J. J. 1983. Identifying individual preferences for international air fares: an application of functional measurement theory.Journal of Transport Economics and Policy 17, 3: 225–45.
Kroes, E. P. and Sheldon, R. J. 1988. Stated preference methods: an introduction.Journal of Transport Economics and Policy 22, 1: 11–25.
Louviere, J. J. and Hensher, D. A. 1983. Using discrete choice models with experimental design data to forecast consumer demand for a unique cultural event.Journal of Consumer Research 10: 348–61.
Luce, R. D. and Suppes, P. 1965. Preference, utility and subjective probability. InHandbook of Mathematical Psychology Volume 3, eds. R. D. Luce, R. R. Bush and E. Galanter, New York: John Wiley, pp. 332–39.
Moore, L. A. R. 1987.Retail modelling: a stated preference approach. Ph.D. thesis, Dept. of Geogr., Univ. of Bristol (published by University Microfilms International, Ann Arbor),.
Moore, L. A. R. 1989. Modelling store choice: a segmented approach using stated preference analysis.Transactions, Institute of British Geographers (New Series) 14: 461–77.
Penny, N. and Broom, D. 1988. The Tesco approach to store location. InStore location, store choice and market analysis, ed. N. Wrigley. London: Routledge, pp. 106–19.
Punj, G. N. and Staelin, R. 1979. The choice process for graduate business schools.Journal of Marketing Research 15: 588–598.
Wardman, M. 1988. A comparison of revealed preference and stated preference models of mode choice.Journal of Transport Economics and Policy 22, 1: 71–91.
Wootton, H. J. and Pick, G. W. 1967. A model for trips generated by households.Journal of Transport Economics and Policy 1: 137–53.
Wrigley, N. 1982. Quantitative methods: developments in discrete choice modelling.Progress in Human Geography 6: 547–59.
Wrigley, N. 1985.Categorical data analysis for geographers and environmental scientists. London: Longmans.
Wrigley, N. 1988. Retail restructuring and retail analysis. InStore choice, store location and market analysis, ed. N. Wrigley, London: Routledge, pp. 3–34.
Wrigley, N., Guy, C. M., Dunn, R. and O'Brien, L. G. 1985. The Cardiff Consumer Panel: methodological aspects of the conduct of a long-term panel survey.Transactions, Institute of British Geographers (New Series) 10, 1: 63–76.
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Moore, L. Segmentation of store choice models using stated preferences. Papers of the Regional Science Association 69, 121–131 (1990). https://doi.org/10.1007/BF01933900
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DOI: https://doi.org/10.1007/BF01933900